Statements (34)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:software
|
| gptkbp:compatibleWith |
gptkb:fitness_center
gptkb:RLlib gptkb:Stable_Baselines3 |
| gptkbp:designedFor |
multi-agent reinforcement learning
|
| gptkbp:developedBy |
Farama Foundation
|
| gptkbp:documentation |
https://pettingzoo.farama.org/
|
| gptkbp:firstReleased |
2020
|
| gptkbp:hasEnvironmentType |
gptkb:Waterworld
gptkb:Atari_games Pursuit classic board games Knights Archers Zombies MPE (Multi-Agent Particle Environments) Pistonball SISL environments butterfly environments |
| https://www.w3.org/2000/01/rdf-schema#label |
PettingZoo
|
| gptkbp:language |
gptkb:Python
|
| gptkbp:license |
gptkb:MIT_License
|
| gptkbp:npmPackage |
pettingzoo
|
| gptkbp:provides |
benchmark environments
standardized API |
| gptkbp:relatedTo |
gptkb:fitness_center
Farama Foundation SuperSuit |
| gptkbp:sourceCodeUrl |
https://github.com/Farama-Foundation/PettingZoo
|
| gptkbp:supports |
parallel environments
sequential environments |
| gptkbp:usedFor |
education
research benchmarking |
| gptkbp:bfsParent |
gptkb:RLlib
|
| gptkbp:bfsLayer |
7
|